Lead Machine Learning Engineer

Are you prescribed to redefine the vanguard of technological innovation as a Lead Machine Learning Engineer? We are scouting for a zealot, proficient in machine learning and data engineering, poised to create transformative solutions.

Join us if you delight in maneuvering complex systems and yearn to make influential strides. Here, your role will traverse beyond machine learning, collaboratively engaging with diverse teams to arrive at strategic breakthroughs.

We foster an immersive, innovative atmosphere that nurtures professional ascent and celebrates every victory. If the thought of architecting landmark projects and advancing in your career fuels your ambition, you might be the linchpin we are in search of.

Embark on this exhilarating expedition of uncovering and forging novel technological pathways.

Your much-aspired professional destination awaits you!

Responsibilities

• Own and contribute to ML pipeline design, development, and operating lifecycle based on best practices
• Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements
• Create infrastructure and architecture diagrams
• Own collaboration with data scientists and engineering team to optimize ML pipeline performance
• Allocate activities to junior ML engineers and take tasks to closure
• Improvise coding practices, support code reviews and bring in best practices for model management
• Provide thought leadership in terms of new technologies and tools, suggest improvements
• Support the interview process to hire junior and senior ML engineers

Requirements

• Experience in AI/ML engineering and leadership
• Proficiency in moving complex AI/ML solutions to production
• Practical experience with Apache Spark Ecosystem
• Knowledge of best practices in software engineering, data management, testing and deployment
• Expertise in building scalable, reliable and maintainable ML systems
• Strong communication and interpersonal skills to liaise with senior business stakeholders, customers and team members
• Ability to work in a fast-paced, deadline-driven environment, mentor and guide junior team members and provide technical leadership
• Strong knowledge and experience in Python development
• Experience with cloud native services: GCP, AWS, Azure
• Experience with some of the MLOps related platform/technology such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, TensorFlow Extended
• Strong written and verbal English communication skills (B2+)

Nice to have

• Expertise in LLM/GenAI

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee, and snacks
  • Well-being events
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft's Software Assurance Home Use Program (HUP)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.